code: def reset_parameters(self):
      for lin in self.pre_lins:
          lin.reset_parameters()
      for lin in self.post_lins:
          lin.reset_parameters()
      self.lin.reset_parameters()
  
imports: from itertools import product
  from typing import Optional, List
  import tqdm
  import torch
  from torch import Tensor
  import torch.nn.functional
  from torch.nn import ModuleList, Linear, BatchNorm1d
  from torch_sparse import SparseTensor
  from torch_geometric.nn import MessagePassing
  from torch_geometric.nn import PNAConv
  from torch_scatter import segment_csr
  from ..models import ScalableGNN
label_desc: Use image node_id 2 for calling the PNAConv obj's underlying member method code with example usage: obj.reset_parameters() without return types